Video-to-Video
Diffusers
Safetensors
robotics
video-generation
diffusion
action-conditioned
dreamdojo
cosmos-predict2.5
Instructions to use Physis-AI/DreamDojo-Pretrain-2B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Physis-AI/DreamDojo-Pretrain-2B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Physis-AI/DreamDojo-Pretrain-2B-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download action_processor.json from Physis-AI/DreamDojo-Pretrain-2B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/Physis-AI/DreamDojo-Pretrain-2B-Diffusers/resolve/main/action_processor.json
- Command line
-
hf download hf://Physis-AI/DreamDojo-Pretrain-2B-Diffusers/action_processor.json
-
curl -L -o action_processor.json https://huggingface.co/Physis-AI/DreamDojo-Pretrain-2B-Diffusers/resolve/main/action_processor.json
248 Bytes
| { | |
| "_class_name": "DreamDojoActionProcessorConfig", | |
| "_diffusers_version": "0.36.0", | |
| "cfg_text_dropout": 0.2, | |
| "cfg_video_dropout": 0.2, | |
| "num_train_timesteps": 1000, | |
| "seed": 42, | |
| "shift": 5.0, | |
| "train_time_distribution": "logitnormal" | |
| } | |